2 дня назад
Solutions Senior Architect (FDE, AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Senior Architect (FDE, AI) (Agentic AI and cloud): Building and deploying custom AI solutions for complex customer engagements with an accent on end-to-end delivery, agentic AI frameworks, and distributed cloud architectures. Focus on designing multi-agent systems, integrating RAG and knowledge sources, optimizing production performance, and translating business requirements into reliable technical solutions.
Location: Madrid, Spain
Company
runs and reimagines mission-critical technology systems for leading businesses, including AI-powered solutions and platforms.
What you will do
- Engage with customers to understand business challenges and translate them into fit-for-purpose technical solutions.
- Build and iterate custom AI solutions using agentic AI frameworks.
- Own delivery end to end, from scoping and solution design through production deployment and adoption.
- Troubleshoot and optimize system performance, scalability, and reliability.
- Document deployment learnings, share best practices, and contribute feedback and code to AI platforms.
- Collaborate with customers, product teams, and other stakeholders while adapting to emerging technologies.
Requirements
- Strong programming expertise in Python or another modern language such as C#, Node, or TypeScript.
- Solid understanding of software delivery lifecycles, Git, GitHub, Pandas, and Spark.
- Experience with cloud AI platforms such as AWS, Azure, or Google AI and distributed computing architectures.
- Ability to translate business requirements into technical solutions and communicate with diverse stakeholders, including executives.
- Experience or knowledge in agentic AI systems, multi-agent orchestration, RAG architectures, and structured and unstructured knowledge integration.
- Degree-level education in Computer Science, Informatics, Data Science, Engineering, or a related field, or equivalent professional experience.
Nice to have
- Experience with TensorFlow or PyTorch.
- Familiarity with Hugging Face and open-source AI ecosystems.
- Knowledge of LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI, agent protocols, and coordination mechanisms.
- Knowledge of system-level optimization and security practices for scalable AI systems.
- Willingness to travel and work on customer premises when required.
Culture & Benefits
- Hybrid-friendly work culture focused on well-being, inclusion, empathy, and belonging.
- Financial, mental, physical, and social well-being support through Be Well programs.
- Personalized career development goals, continuous feedback, coaching, and hands-on growth opportunities.
- Access to learning opportunities and certifications from Microsoft, Google, and Amazon.
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